Evidence map›Paper›PMID 39607135›Full record

ArticleRevista brasileira de epidemiologia = Brazilian journal of epidemiology2024

COVID-19 diagnosis and hospital admissions in Brazil: a countrywide survey (Covitel, 2022).

Renato Teixeira, Sofia Reinach, Fátima Marinho, Pedro Hallal, Fernando César Wehrmeister, Eduardo Ribes Kohn, Érika Carvalho de Aquino, Pedro de Paula, Luciana Monteiro Vasconcelos Sardinha

Abstract read
In one paragraph

Article in Revista brasileira de epidemiologia = Brazilian journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Renato TeixeiraUniversidade Federal de Minas Gerais, School of Medicine, Graduate Program in Public Health - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0002-1259-6812
Sofia ReinachVital Strategies - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0003-1957-8243
Fátima MarinhoVital Strategies - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0003-3287-9163
Pedro HallalUniversity of Illinois Urbana-Champaign, College of Applied Health Sciences - Urbana, Illinois, United States of America.ORCID http://orcid.org/0000-0003-1470-6461
Fernando César WehrmeisterUniversidade Federal de Pelotas, Graduate Program in Epidemiology - Pelotas (RS), Brazil.ORCID http://orcid.org/0000-0001-7137-1747
Eduardo Ribes KohnUniversidade Federal de Pelotas, Graduate Program in Physical Education - Pelotas (RS), Brazil.ORCID http://orcid.org/0000-0001-9072-4536
Érika Carvalho de AquinoVital Strategies - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0002-5659-0308
Pedro de PaulaVital Strategies - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0002-6633-368X
Luciana Monteiro Vasconcelos SardinhaVital Strategies - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0002-3679-3618

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the prevalence of COVID-19 diagnosis and hospital admissions, and to evaluate their correlates in a nationwide Brazilian sample.

methodsA cross-sectional study was carried out with secondary data from the Telephone Survey of Risk Factors for Chronic Noncommunicable Diseases in Times of Pandemic - Covitel 2022. The Covitel study uses cluster sampling, carried out through random digit dialing on landlines and cell phones, among people aged 18 years or over. The outcome of the "diagnosis of COVID-19" was based on a self-report of a confirmed case through laboratory tests or medical diagnoses. Those who reported COVID-19 were asked about the need for hospital admission due to COVID-19. Independent variables included sex, age, level of education, region, comorbidity, private health insurance plan, self-rated health, and employment status. The odds ratio was estimated using logistic regression models considering the complex sample design.

resultsFrom the sample of 9000 people, the prevalence of COVID-19 diagnosis was 25.4% (95%CI 23.8-27.1%), ranging from 23.0% (95%CI 20.0-26.3%) in the Northeast region to 28.5% (95%CI 25.3-31.7%) in the South region. Middle-aged adults (35-44 years old) had the highest prevalence of COVID-19 diagnosis. The higher the level of education, the higher the prevalence of COVID-19 diagnosis.

conclusionThe prevalence of COVID-19 diagnosis is markedly different from that of SARS-CoV-2 infection at the population level. Socioeconomic differences in access to testing are the likely explanation. Older adults and people with comorbidities were more likely to be admitted to hospital due to COVID-19 in Brazil.

Indexed as

COVID-19HospitalizationAdolescentAdultAgedAge DistributionBrazilCross-Sectional StudiesFemaleHumansMaleMiddle AgedPandemicsPrevalenceRisk FactorsSARS-CoV-2

Identifiers

PMID39607135
PMCPMC11653953

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.